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Senior AI Specialist Solutions Architect (AWS)
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Описание вакансии
Текст:
TL;DR
Senior AI Specialist Solutions Architect (AWS): Designing and implementing scalable, secure, and resilient AI architectures for enterprise customers with an accent on GenAI, LLMs, and Agentic workflows. Focus on driving production-grade AI adoption, optimizing cloud-native AI patterns, and providing technical leadership to accelerate customer success on the AWS platform.
Location: Seoul, South Korea
Company
Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, powering businesses from startups to Global 500 companies.
What you will do
- Build technical relationships with customers as a trusted advisor for GenAI/ML and Agentic technology adoption.
- Design scalable, flexible, and resilient cloud-native AI architectures for complex enterprise use cases.
- Advocate for customer needs internally to influence the AWS GenAI/ML product roadmap.
- Create and share technical content, including whitepapers, blog posts, and workshops to evangelize AWS AI solutions.
- Lead hands-on technical deep dives and provide mentorship to the broader engineering organization.
- Ensure recommendations align with security, cost, performance, and operational efficiency standards.
Requirements
- 7+ years of experience in design, implementation, or consulting for distributed applications.
- 5+ years of experience managing technical, enterprise customer-facing resources.
- 5+ years of experience in the design and implementation of production AI systems.
- Proven expertise in LLM integration, fine-tuning, RAG, vector databases, and MLOps.
- Hands-on experience with AWS ecosystems including Bedrock and SageMaker.
- Ability to influence decision-makers as a technical thought leader across diverse audiences.
Nice to have
- Master’s degree or PhD in Computer Science, Mathematics, Statistics, or Machine Learning.
- Experience architecting AI systems in highly regulated environments like Financial Services or Healthcare.
- Proven ability to run and fine-tune models using advanced techniques like LoRA, QLoRA, and RLHF.
- Cloud Technology Certification.
Culture & Benefits
- Commitment to an inclusive team culture with employee-led affinity groups.
- Strong focus on work-life harmony and flexibility.
- Extensive opportunities for mentorship, knowledge-sharing, and career growth.
- Access to a comprehensive suite of cloud products and innovative technology environments.
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